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Logo BenchMarking Via Weka 0.0.4

by fracpete - December 4, 2008, 01:15:15 CET [ Project Homepage BibTeX Download ] 9036 views, 1629 downloads, 0 comments, 2 subscriptions

About: BenchMarking Via Weka is a client-server architecture that supports interoperability between different machine learning systems. Machine learning systems need to provide mechanisms for processing [...]


Initial Announcement on

Logo ALGLIB 2.4.0

by Sergey_Bochkanov - March 10, 2010, 14:07:35 CET [ Project Homepage BibTeX Download ] 9014 views, 1971 downloads, 2 subscriptions

About: ALGLIB is an open source numerical analysis library distributed under GPL 2+. It implements both general numerical algorithms and machine learning algorithms. ALGLIB can be used from C#, C++, FreePascal, VBA and other languages. It is the only numerical analysis library which uses automatic translation to generate source code written in different programming languages with 100% identical functionality.

  1. New algorithms implemented: exact and approximate nearest neighbor search using kd-trees, new multidimensional scattered data interpolation/fitting algorithm with O(N·logN) complexity (modified Shepard's method with fast k-NN queries), linear algebra algorithms

  2. faster QR/LQ, matrix inversion, condition number estimation.

  3. Minor fixes

Logo r-cran-varSelRF 0.7-3

by r-cran-robot - October 28, 2010, 00:00:00 CET [ Project Homepage BibTeX Download ] 9012 views, 1838 downloads, 1 subscription

About: Variable selection using random forests


Fetched by r-cran-robot on 2012-02-01 00:00:12.245883

Logo Generalised Stirling Numbers libstb 1.0 1.4

by wbuntine - September 28, 2012, 13:49:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8909 views, 1614 downloads, 1 subscription

About: THIS VERSION DISCONTINUED, see "". This library provides ways of computing generalised 2nd-order Stirling numbers for Pitman-Yor and Dirichlet processes. Included is a tester and parameter optimiser. This accompanies Buntine and Hutter's article:


See the alternative MLOSS entry "libstb". Updated to 1.4!

Logo seqan 1.2

by sonne - November 2, 2009, 14:54:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8874 views, 1689 downloads, 1 subscription

About: SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data.

  • 5 more applications, i.e. DFI, MicroRazerS, PairAlign, SeqCons, TreeRecon
  • stable release of RazerS supporting paired-end read mapping and configurable sensitivity
  • new alignment algorithms, e.g. banded, configurable alignments (overlap, semi-global, ...)
  • realignment algorithm
  • NGS data structures and formats, e.g. SAM, Amos, ...
  • new alphabets, e.g. Dna with base call qualities, profile characters
  • auxiliary data structures and algorithms, e.g. double ended queue, command line parser
  • positional scores
  • CMake support

Logo K tree 0.4.2

by cdevries - July 4, 2011, 06:01:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8869 views, 1863 downloads, 1 subscription

About: The K-tree is a scalable approach to clustering inspired by the B+-tree and k-means algorithms.


Release of K-tree implementation in Python. This is targeted at a research and rapid prototyping audience.

Logo LaRank 1.1

by antojne - July 15, 2008, 15:58:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8840 views, 1714 downloads, 1 subscription

About: LaRank is an online solver for multiclass Support Vector Machines.


Initial Announcement on

Logo MPI IKL 1.0

by pgehler - January 16, 2009, 16:39:29 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8835 views, 1708 downloads, 1 subscription

About: This package contains an implementation of the Infinite Kernel Learning (IKL) algorithm and the SimpleMKL algorithm. This is realized by building on Coin-Ipopt-3.3.5 and Libsvm.


Initial Announcement on

Logo pSpectralClustering 1.1

by tbuehler - July 30, 2014, 19:44:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8776 views, 1905 downloads, 2 subscriptions

About: A generalized version of spectral clustering using the graph p-Laplacian.

  • fixed compatibility issue with Matlab R2013a+
  • several internal optimizations

About: Nowadays this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use a stack of Restricted Boltzmann Machines (RBM) to create a powerful generative model using training data. DBNs have many abilities such as feature extraction and classification that are used in many applications including image processing, speech processing, text categorization, etc. This paper introduces a new object oriented toolbox with the most important abilities needed for the implementation of DBNs. According to the results of the experiments conducted on the MNIST (image), ISOLET (speech), and the 20 Newsgroups (text) datasets, it was shown that the toolbox can learn automatically a good representation of the input from unlabeled data with better discrimination between different classes. Also on all the aforementioned datasets, the obtained classification errors are comparable to those of the state of the art classifiers. In addition, the toolbox supports different sampling methods (e.g. Gibbs, CD, PCD and our new FEPCD method), different sparsity methods (quadratic, rate distortion and our new normal method), different RBM types (generative and discriminative), GPU based, etc. The toolbox is a user-friendly open source software in MATLAB and Octave and is freely available on the website.


New in toolbox

  • Using GPU in Backpropagation
  • Revision of some demo scripts
  • Function approximation with multiple outputs
  • Feature extraction with GRBM in first layer


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